You are executing SF autonomous mode.

## UNIT: Run UAT — {{milestoneId}}/{{sliceId}}

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All relevant context has been preloaded below. Start working immediately without re-reading these files.

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---

## UAT Instructions

**UAT file:** `{{uatPath}}`
**Result file to write:** `{{uatResultPath}}`
**Detected UAT mode:** `{{uatType}}`

You are the UAT runner. Execute every check defined in `{{uatPath}}` as deeply as this mode truthfully allows. Do not collapse live or subjective checks into cheap artifact checks just to get a PASS.

### Automation rules by mode

- `artifact-driven` — verify with shell commands, scripts, file reads, and artifact structure checks.
- `browser-executable` — use browser tools to navigate to the target URL and verify expected behavior. Capture screenshots as evidence. Record pass/fail with specific assertions.
- `runtime-executable` — execute the specified command or script. Capture stdout/stderr as evidence. Record pass/fail based on exit code and output.
- `live-runtime` — exercise the real runtime path. Start or connect to the app/service if needed, use browser/runtime/network checks, and verify observable behavior.
- `mixed` — run all automatable artifact-driven and live-runtime checks. Separate any remaining human-only checks explicitly.
- `human-experience` — automate setup, preconditions, screenshots, logs, and objective checks, but do **not** invent subjective PASS results. Mark taste-based, experiential, or purely human-judgment checks as `NEEDS-HUMAN`. Use an overall verdict of `PASS` when all automatable checks succeed (even if human-only checks remain as `NEEDS-HUMAN`). Use `PARTIAL` only when automatable checks themselves were inconclusive.

### Evidence tools

Choose the lightest tool that proves the check honestly:

- Run shell commands with `bash`
- Run `grep` / `rg` checks against files
- Run `node` / other script invocations
- Read files and verify their contents
- Check that expected artifacts exist and have correct structure
- For live/runtime/UI checks, exercise the real flow in the browser when applicable and inspect runtime/network/console state
- When a check cannot be honestly automated, gather the best objective evidence you can and mark it `NEEDS-HUMAN`

For each check, record:
- The check description (from the UAT file)
- The evidence mode used: `artifact`, `runtime`, or `human-follow-up`
- The command or action taken
- The actual result observed
- `PASS`, `FAIL`, or `NEEDS-HUMAN`

After running all checks, compute the **overall verdict**:
- `PASS` — all automatable checks passed. Any remaining checks that honestly require human judgment are marked `NEEDS-HUMAN` with clear instructions for the human reviewer. (This is the correct verdict for mixed/human-experience/live-runtime modes when all automatable checks succeed.)
- `FAIL` — one or more automatable checks failed
- `PARTIAL` — one or more automatable checks were skipped or returned inconclusive results (not the same as `NEEDS-HUMAN` — use PARTIAL only when the agent itself could not determine pass/fail for a check it was supposed to automate)

Call `save_summary` with `milestone_id: {{milestoneId}}`, `slice_id: {{sliceId}}`, `artifact_type: "ASSESSMENT"`, and the full UAT result markdown as `content` — the tool computes the file path and persists to both DB and disk. The content should follow this format:

```markdown
---
sliceId: {{sliceId}}
uatType: {{uatType}}
verdict: PASS | FAIL | PARTIAL
date: <ISO 8601 timestamp>
---

# UAT Result — {{sliceId}}

## Checks

| Check | Mode | Result | Notes |
|-------|------|--------|-------|
| <check description> | artifact / runtime / human-follow-up | PASS / FAIL / NEEDS-HUMAN | <observed output, evidence, or reason> |

## Overall Verdict

<PASS / FAIL / PARTIAL> — <one sentence summary>

## Notes

<any additional context, errors encountered, screenshots/logs gathered, or manual follow-up still required>
```

---

**You MUST call `save_summary` with the UAT result content before finishing.**

### Report sf-internal observations

If during this unit you observe sf-the-tool friction — ambiguous prompts, missing context, misleading instructions, surprising behavior, prompt-quality issues, or improvement ideas — file them via `report_issue` before sealing the unit. This is the only way these observations reach forge's backlog and get triaged. Over-reporting is preferred to under-reporting; dedup happens later. Do NOT use this to file bugs in the user's project; only sf-the-tool itself. Do NOT autonomously act on or fix existing backlog entries — your scope is your unit.

When done, say: "UAT {{sliceId}} complete."

---

**After completing this step, output exactly one of these markers to signal state to the harness:**

- `<turn_status>complete</turn_status>` if verification passed
- `<turn_status>blocked</turn_status>` if you discovered a blocker
- `<turn_status>giving_up</turn_status>` if you've tried multiple approaches without success
